Abstract: Uplift modeling is a machine learning technique for estimating treatment effects in causal inference problems, where feature selection is crucial for reducing overfitting and computational ...
Abstract: High-dimensional and weakly supervised (HiDWS) data present significant challenges for traditional machine learning and pattern recognition. Although semi-supervised feature selection has ...
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